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2020 – today
- 2025
[j25]Cristian Castiglione, Eleonora Arnone, Mauro Bernardi, Alessio Farcomeni, Laura M. Sangalli
:
PDE-regularised spatial quantile regression. J. Multivar. Anal. 205: 105381 (2025)- 2024
- [j24]Alessio Farcomeni, Marco Geraci:
Quantile ratio regression. Stat. Comput. 34(2): 94 (2024) - [j23]Luca Bagnato, Alessio Farcomeni, Antonio Punzo:
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. Stat. Anal. Data Min. 17(1) (2024) - 2023
- [j22]Edoardo Redivo, Cinzia Viroli, Alessio Farcomeni:
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. Stat. Comput. 33(2): 55 (2023) - 2022
- [j21]Alessio Farcomeni, Marco Geraci, Cinzia Viroli:
Directional Quantile Classifiers. J. Comput. Graph. Stat. 31(3): 907-916 (2022) - 2021
- [j20]Giampiero Marra, Alessio Farcomeni, Rosalba Radice:
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections. Comput. Stat. Data Anal. 155: 107092 (2021)
2010 – 2019
- 2018
- [j19]Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar:
A reweighting approach to robust clustering. Stat. Comput. 28(2): 477-493 (2018) - [j18]Giulia Barbati, Alessio Farcomeni:
Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy. Stat. Methods Appl. 27(3): 545-557 (2018) - [j17]Alessio Farcomeni, Francesco Dotto:
The power of (extended) monitoring in robust clustering - Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. Stat. Methods Appl. 27(4): 651-660 (2018) - 2017
- [j16]Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar:
A fuzzy approach to robust regression clustering. Adv. Data Anal. Classif. 11(4): 691-710 (2017) - 2016
- [c1]Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar:
Robust Fuzzy Clustering via Trimming and Constraints. SMPS 2016: 197-204 - 2015
- [j15]Alessio Farcomeni, Luca Greco:
S-estimation of hidden Markov models. Comput. Stat. 30(1): 57-80 (2015) - [j14]Francesco Bartolucci, Alessio Farcomeni:
Information matrix for hidden Markov models with covariates. Stat. Comput. 25(3): 515-526 (2015) - 2014
- [j13]Andrea Cerioli, Alessio Farcomeni, Marco Riani:
Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter. J. Multivar. Anal. 126: 167-183 (2014) - [j12]Alessio Farcomeni:
Snipping for robust k-means clustering under component-wise contamination. Stat. Comput. 24(6): 907-919 (2014) - [j11]Alessio Farcomeni:
Robust Constrained Clustering in Presence of Entry-Wise Outliers. Technometrics 56(1): 102-111 (2014) - 2013
- [j10]Andrea Cerioli, Alessio Farcomeni, Marco Riani:
Robust distances for outlier-free goodness-of-fit testing. Comput. Stat. Data Anal. 65: 29-45 (2013) - 2012
- [j9]Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni:
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data. Comput. Stat. Data Anal. 56(12): 4067-4080 (2012) - [j8]Alessio Farcomeni:
Quantile regression for longitudinal data based on latent Markov subject-specific parameters. Stat. Comput. 22(1): 141-152 (2012) - [j7]Elena Fabrizi, Alessio Farcomeni, Valerio Gatta:
Modelling work history patterns in the Italian labour market. Stat. Methods Appl. 21(2): 227-247 (2012) - 2011
- [j6]Andrea Cerioli, Alessio Farcomeni:
Error rates for multivariate outlier detection. Comput. Stat. Data Anal. 55(1): 544-553 (2011) - 2010
- [j5]Alessio Farcomeni, Alessandra Nardi:
A two-component Weibull mixture to model early and late mortality in a Bayesian framework. Comput. Stat. Data Anal. 54(2): 416-428 (2010)
2000 – 2009
- 2009
- [j4]Alessio Farcomeni:
Robust Double Clustering: A Method Based on Alternating Concentration Steps. J. Classif. 26(1): 77-101 (2009) - [j3]Alessio Farcomeni:
An exact approach to sparse principal component analysis. Comput. Stat. 24(4): 583 (2009) - 2007
- [j2]Marco Alfò, Alessio Farcomeni, Luca Tardella:
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments. Comput. Stat. Data Anal. 51(11): 5253-5265 (2007) - 2006
- [j1]Alessio Farcomeni:
More Powerful Control of the False Discovery Rate Under Dependence. Stat. Methods Appl. 15(1): 43-73 (2006)
Coauthor Index
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